#if (!requireNamespace("BiocManager", quietly = TRUE))
#install.packages("BiocManager")
#BiocManager::install("ClusterSignificance")
library(ClusterSignificance)
TSNEdata=read.table('TSNE.csv',row.names=1,header=TRUE, sep=",", stringsAsFactors = FALSE, dec=".", fill=TRUE)
UMAPdata=read.table('umap.csv',row.names=1,header=TRUE, sep=",", stringsAsFactors = FALSE, dec=".", fill=TRUE)
head(UMAPdata)
head(TSNEdata)
##Compare GANs versus respective RAWs
dophenotype <- function (data, classes, label){
## Permute and plot. Using "method"
pe <- permute(
mat = data,
n=n,
iter = iterations,
classes = classes,
projmethod = method,
verbose=FALSE)
its=0
solved=FALSE
while(solved==FALSE){
its=its+1
pe1 <- permute(
mat = data,
n=n,
iter = iterations,
classes = classes,
projmethod = method,
seed=i*iterations,
verbose=FALSE)
#assimilate all loops
pe<-c(pe,pe1)
text<-paste(label,". Now real iteration:" ,its*iterations)
print(text)
print(ClusterSignificance::pvalue(pe))
print(conf.int(pe, conf.level = 0.95))
flush.console()
labs<-unique(classes)
real=pe@scores.real$"GAN vs RAW"
simulated=pe@scores.vec$"GAN vs RAW"
beats<-simulated-real
perhits <- length(beats[beats>0])
text<-paste(perhits," Hits so far")
print(text)
flush.console()
pedebug <<-pe
if ((perhits>0) & (its*iterations>minit)) {solved=TRUE}
if(its*iterations>maxit){solved=TRUE}
}
return(pe)
}
for (pheno in seq(1,5)){
i <- ((pheno-1)*4)+1
j <- ((pheno-1)*4)+2
k <- ((pheno-1)*4)+3
l <- ((pheno-1)*4)+4
label <- paste(use,"clustering, ",method," using ", i,":",j," and ", k,":",l, ". Now real iteration:" ,sep="")
print(label)
#get data and loose any NA
CON=MANdata[,i:j]
CON= CON[complete.cases(CON), ]
names(CON)=c("X","Y")
TEST=MANdata[,k:l]
TEST= TEST[complete.cases(TEST), ]
names(TEST)=c("X","Y")
# For fair test don't tell Kmeans algo we have two pops ;-)
data<-rbind(CON,TEST)
data<-as.matrix(data)
class1<-rep("GAN", nrow(TEST))
class2<-rep("RAW",nrow(CON))
classes=cbind(t(class1),t(class2))[1,]
pe<-dophenotype(data,classes,label)
title<-paste("pheno=",pheno)
plot(pe,sub=title)
ClusterSignificance::pvalue(pe)
conf.int(pe, conf.level = 0.95)
line <- paste0(label,"\n",ClusterSignificance::pvalue(pe))
write(line,file="autoGANvRAWoutput.txt",append=TRUE)
write(conf.int(pe, conf.level = 0.95),file="autoGANvRAWoutput.txt",append=TRUE)
}
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.4982792
CI95%-high 0.6396144
[1] "114 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5118521
CI95%-high 0.6267516
[1] "171 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5198658
CI95%-high 0.6190909
[1] "228 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5252988
CI95%-high 0.6138687
[1] "285 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5292899
CI95%-high 0.6100178
[1] "342 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5323801
CI95%-high 0.6070275
[1] "399 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5348633
CI95%-high 0.6046190
[1] "456 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5369150
CI95%-high 0.6026253
[1] "513 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5386470
CI95%-high 0.6009397
[1] "570 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5401342
CI95%-high 0.5994904
[1] "627 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.57
GAN vs RAW
CI95%-low 0.5414293
CI95%-high 0.5982268
[1] "684 Hits so far"
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.945
GAN vs RAW
CI95%-low 0.9037224
CI95%-high 0.9722277
[1] "189 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.9433333
GAN vs RAW
CI95%-low 0.9108196
CI95%-high 0.9666467
[1] "283 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.9425
GAN vs RAW
CI95%-low 0.9149684
CI95%-high 0.9632045
[1] "377 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.942
GAN vs RAW
CI95%-low 0.9177618
CI95%-high 0.9608161
[1] "471 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.9416667
GAN vs RAW
CI95%-low 0.9198031
CI95%-high 0.9590360
[1] "565 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.9414286
GAN vs RAW
CI95%-low 0.9213771
CI95%-high 0.9576439
[1] "659 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.94125
GAN vs RAW
CI95%-low 0.9226378
CI95%-high 0.9565170
[1] "753 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.9411111
GAN vs RAW
CI95%-low 0.9236763
CI95%-high 0.9555806
[1] "847 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.941
GAN vs RAW
CI95%-low 0.9245509
CI95%-high 0.9547866
[1] "941 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.9409091
GAN vs RAW
CI95%-low 0.9253004
CI95%-high 0.9541024
[1] "1035 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.9408333
GAN vs RAW
CI95%-low 0.9259518
CI95%-high 0.9535047
[1] "1129 Hits so far"
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.005
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.003333333
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.0025
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.002
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.001666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.001428571
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.00125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.001111111
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.001
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.0009090909
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.0008333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1200"
GAN vs RAW
0.0007692308
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1300"
GAN vs RAW
0.0007142857
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1400"
GAN vs RAW
0.0006666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1500"
GAN vs RAW
0.000625
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1600"
GAN vs RAW
0.0005882353
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1700"
GAN vs RAW
0.0005555556
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1800"
GAN vs RAW
0.0005263158
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1900"
GAN vs RAW
5e-04
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2000"
GAN vs RAW
0.0004761905
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2100"
GAN vs RAW
0.0004545455
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2200"
GAN vs RAW
0.0004347826
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2300"
GAN vs RAW
0.0004166667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2400"
GAN vs RAW
4e-04
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2500"
GAN vs RAW
0.0003846154
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2600"
GAN vs RAW
0.0003703704
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2700"
GAN vs RAW
0.0003571429
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2800"
GAN vs RAW
0.0003448276
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2900"
GAN vs RAW
0.0003333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3000"
GAN vs RAW
0.0003225806
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3100"
GAN vs RAW
0.0003125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3200"
GAN vs RAW
0.0003030303
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3300"
GAN vs RAW
0.0002941176
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3400"
GAN vs RAW
0.0002857143
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3500"
GAN vs RAW
0.0002777778
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3600"
GAN vs RAW
0.0002702703
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3700"
GAN vs RAW
0.0002631579
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3800"
GAN vs RAW
0.0002564103
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3900"
GAN vs RAW
0.00025
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4000"
GAN vs RAW
0.0002439024
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4100"
GAN vs RAW
0.0002380952
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4200"
GAN vs RAW
0.0002325581
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4300"
GAN vs RAW
0.0002272727
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4400"
GAN vs RAW
0.0002222222
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4500"
GAN vs RAW
0.0002173913
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4600"
GAN vs RAW
0.000212766
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4700"
GAN vs RAW
0.0002083333
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4800"
GAN vs RAW
0.0002040816
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4900"
GAN vs RAW
2e-04
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 5000"
GAN vs RAW
0.0001960784
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 5100"
GAN vs RAW
0.0001923077
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.005
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.003333333
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.0025
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.002
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.001666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.001428571
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.00125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.001111111
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.001
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.0009090909
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.0008333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1200"
GAN vs RAW
0.0007692308
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1300"
GAN vs RAW
0.0007142857
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1400"
GAN vs RAW
0.0006666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1500"
GAN vs RAW
0.000625
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1600"
GAN vs RAW
0.0005882353
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1700"
GAN vs RAW
0.0005555556
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1800"
GAN vs RAW
0.0005263158
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1900"
GAN vs RAW
5e-04
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2000"
GAN vs RAW
0.0004761905
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2100"
GAN vs RAW
0.0004545455
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2200"
GAN vs RAW
0.0004347826
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2300"
GAN vs RAW
0.0004166667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2400"
GAN vs RAW
4e-04
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2500"
GAN vs RAW
0.0003846154
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2600"
GAN vs RAW
0.0003703704
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2700"
GAN vs RAW
0.0003571429
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2800"
GAN vs RAW
0.0003448276
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 2900"
GAN vs RAW
0.0003333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3000"
GAN vs RAW
0.0003225806
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3100"
GAN vs RAW
0.0003125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3200"
GAN vs RAW
0.0003030303
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3300"
GAN vs RAW
0.0002941176
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3400"
GAN vs RAW
0.0002857143
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3500"
GAN vs RAW
0.0002777778
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3600"
GAN vs RAW
0.0002702703
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3700"
GAN vs RAW
0.0002631579
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3800"
GAN vs RAW
0.0002564103
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 3900"
GAN vs RAW
0.00025
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4000"
GAN vs RAW
0.0002439024
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4100"
GAN vs RAW
0.0002380952
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4200"
GAN vs RAW
0.0002325581
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4300"
GAN vs RAW
0.0002272727
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4400"
GAN vs RAW
0.0002222222
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4500"
GAN vs RAW
0.0002173913
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4600"
GAN vs RAW
0.000212766
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4700"
GAN vs RAW
0.0002083333
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4800"
GAN vs RAW
0.0002040816
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 4900"
GAN vs RAW
2e-04
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 5000"
GAN vs RAW
0.0001960784
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 5100"
GAN vs RAW
0.0001923077
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.005
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.003333333
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.0025
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.002
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.001666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.001428571
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.00125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.001111111
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.001
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.0009090909
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.0008333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1200"
GAN vs RAW
0.0007692308
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1300"
GAN vs RAW
0.0007142857
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1400"
GAN vs RAW
0.0006666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1500"
GAN vs RAW
0.000625
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1600"
GAN vs RAW
0.0005882353
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1700"
GAN vs RAW
0.0005555556
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1800"
GAN vs RAW
0.0005263158
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1900"
GAN vs RAW
5e-04
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2000"
GAN vs RAW
0.0004761905
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2100"
GAN vs RAW
0.0004545455
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2200"
GAN vs RAW
0.0004347826
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2300"
GAN vs RAW
0.0004166667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2400"
GAN vs RAW
4e-04
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2500"
GAN vs RAW
0.0003846154
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2600"
GAN vs RAW
0.0003703704
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2700"
GAN vs RAW
0.0003571429
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2800"
GAN vs RAW
0.0003448276
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2900"
GAN vs RAW
0.0003333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3000"
GAN vs RAW
0.0003225806
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3100"
GAN vs RAW
0.0003125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3200"
GAN vs RAW
0.0003030303
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3300"
GAN vs RAW
0.0002941176
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3400"
GAN vs RAW
0.0002857143
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3500"
GAN vs RAW
0.0002777778
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3600"
GAN vs RAW
0.0002702703
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3700"
GAN vs RAW
0.0002631579
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3800"
GAN vs RAW
0.0002564103
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3900"
GAN vs RAW
0.00025
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4000"
GAN vs RAW
0.0002439024
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4100"
GAN vs RAW
0.0002380952
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4200"
GAN vs RAW
0.0002325581
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4300"
GAN vs RAW
0.0002272727
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4400"
GAN vs RAW
0.0002222222
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4500"
GAN vs RAW
0.0002173913
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4600"
GAN vs RAW
0.000212766
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4700"
GAN vs RAW
0.0002083333
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4800"
GAN vs RAW
0.0002040816
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4900"
GAN vs RAW
2e-04
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 5000"
GAN vs RAW
0.0001960784
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "TSNEdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 5100"
GAN vs RAW
0.0001923077
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
NA
NA
##Are the GANs different to each other?
[1] "1 : 2"
[1] "1 : 3"
[1] "1 : 4"
[1] "1 : 5"
[1] "2 : 3"
[1] "2 : 4"
[1] "2 : 5"
[1] "3 : 4"
[1] "3 : 5"
[1] "4 : 5"
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.675
GAN_1 vs GAN_2
CI95%-low 0.6053463
CI95%-high 0.7393745
[1] "135 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.66
GAN_1 vs GAN_2
CI95%-low 0.6033493
CI95%-high 0.7134539
[1] "198 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.6525
GAN_1 vs GAN_2
CI95%-low 0.6035899
CI95%-high 0.6991343
[1] "261 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.648
GAN_1 vs GAN_2
CI95%-low 0.6043586
CI95%-high 0.6898795
[1] "324 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.645
GAN_1 vs GAN_2
CI95%-low 0.6052380
CI95%-high 0.6833266
[1] "387 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.6428571
GAN_1 vs GAN_2
CI95%-low 0.6061034
CI95%-high 0.6784009
[1] "450 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.64125
GAN_1 vs GAN_2
CI95%-low 0.6069162
CI95%-high 0.6745384
[1] "513 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.64
GAN_1 vs GAN_2
CI95%-low 0.6076671
CI95%-high 0.6714130
[1] "576 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.639
GAN_1 vs GAN_2
CI95%-low 0.6083571
CI95%-high 0.6688217
[1] "639 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.6381818
GAN_1 vs GAN_2
CI95%-low 0.6089908
CI95%-high 0.6666314
[1] "702 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.6375
GAN_1 vs GAN_2
CI95%-low 0.6095737
CI95%-high 0.6647504
[1] "765 Hits so far"
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.305
GAN_1 vs GAN_2
CI95%-low 0.2420194
CI95%-high 0.3738678
[1] "61 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.3033333
GAN_1 vs GAN_2
CI95%-low 0.2518198
CI95%-high 0.3587808
[1] "91 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.3025
GAN_1 vs GAN_2
CI95%-low 0.2578425
CI95%-high 0.3501085
[1] "121 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.302
GAN_1 vs GAN_2
CI95%-low 0.26203
CI95%-high 0.34433
[1] "151 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.3016667
GAN_1 vs GAN_2
CI95%-low 0.2651613
CI95%-high 0.3401377
[1] "181 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.3014286
GAN_1 vs GAN_2
CI95%-low 0.2676184
CI95%-high 0.3369226
[1] "211 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.30125
GAN_1 vs GAN_2
CI95%-low 0.2696140
CI95%-high 0.3343585
[1] "241 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.3011111
GAN_1 vs GAN_2
CI95%-low 0.2712772
CI95%-high 0.3322533
[1] "271 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.301
GAN_1 vs GAN_2
CI95%-low 0.2726912
CI95%-high 0.3304856
[1] "301 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.3009091
GAN_1 vs GAN_2
CI95%-low 0.2739131
CI95%-high 0.3289745
[1] "331 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.3008333
GAN_1 vs GAN_2
CI95%-low 0.2749827
CI95%-high 0.3276638
[1] "361 Hits so far"
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.015
GAN_1 vs GAN_2
CI95%-low 0.003104108
CI95%-high 0.043208282
[1] "3 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.01333333
GAN_1 vs GAN_2
CI95%-low 0.003644514
CI95%-high 0.033784896
[1] "4 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0125
GAN_1 vs GAN_2
CI95%-low 0.004070836
CI95%-high 0.028928344
[1] "5 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.012
GAN_1 vs GAN_2
CI95%-low 0.004416172
CI95%-high 0.025934927
[1] "6 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.01166667
GAN_1 vs GAN_2
CI95%-low 0.004703117
CI95%-high 0.023889322
[1] "7 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.01142857
GAN_1 vs GAN_2
CI95%-low 0.004946602
CI95%-high 0.022394106
[1] "8 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.01125
GAN_1 vs GAN_2
CI95%-low 0.005156763
CI95%-high 0.021248177
[1] "9 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.01111111
GAN_1 vs GAN_2
CI95%-low 0.005340712
CI95%-high 0.020338533
[1] "10 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.011
GAN_1 vs GAN_2
CI95%-low 0.005503594
CI95%-high 0.019596628
[1] "11 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.01090909
GAN_1 vs GAN_2
CI95%-low 0.005649237
CI95%-high 0.018978377
[1] "12 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.01083333
GAN_1 vs GAN_2
CI95%-low 0.005780551
CI95%-high 0.018454085
[1] "13 Hits so far"
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "TSNEdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
##Are the RAWs different to each other?
[1] "1 : 2"
[1] "1 : 3"
[1] "1 : 4"
[1] "1 : 5"
[1] "2 : 3"
[1] "2 : 4"
[1] "2 : 5"
[1] "3 : 4"
[1] "3 : 5"
[1] "4 : 5"
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.395
RAW_1 vs RAW_2
CI95%-low 0.3267650
CI95%-high 0.4663964
[1] "79 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.3933333
RAW_1 vs RAW_2
CI95%-low 0.3376870
CI95%-high 0.4511084
[1] "118 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.3925
RAW_1 vs RAW_2
CI95%-low 0.3443481
CI95%-high 0.4422549
[1] "157 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.392
RAW_1 vs RAW_2
CI95%-low 0.3489574
CI95%-high 0.4363275
[1] "196 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.3916667
RAW_1 vs RAW_2
CI95%-low 0.3523926
CI95%-high 0.4320125
[1] "235 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.3914286
RAW_1 vs RAW_2
CI95%-low 0.3550816
CI95%-high 0.4286948
[1] "274 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.39125
RAW_1 vs RAW_2
CI95%-low 0.3572611
CI95%-high 0.4260434
[1] "313 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.3911111
RAW_1 vs RAW_2
CI95%-low 0.3590746
CI95%-high 0.4238628
[1] "352 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.391
RAW_1 vs RAW_2
CI95%-low 0.3606145
CI95%-high 0.4220292
[1] "391 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.3909091
RAW_1 vs RAW_2
CI95%-low 0.3619435
CI95%-high 0.4204599
[1] "430 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.3908333
RAW_1 vs RAW_2
CI95%-low 0.3631058
CI95%-high 0.4190973
[1] "469 Hits so far"
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.465
RAW_1 vs RAW_2
CI95%-low 0.3943527
CI95%-high 0.5367001
[1] "92 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.4566667
RAW_1 vs RAW_2
CI95%-low 0.3993076
CI95%-high 0.5148899
[1] "135 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.4525
RAW_1 vs RAW_2
CI95%-low 0.4029820
CI95%-high 0.5027258
[1] "178 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.45
RAW_1 vs RAW_2
CI95%-low 0.4058014
CI95%-high 0.4947931
[1] "221 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.4483333
RAW_1 vs RAW_2
CI95%-low 0.4080457
CI95%-high 0.4891318
[1] "264 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.4471429
RAW_1 vs RAW_2
CI95%-low 0.4098861
CI95%-high 0.4848469
[1] "307 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.44625
RAW_1 vs RAW_2
CI95%-low 0.4114309
CI95%-high 0.4814666
[1] "350 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.4455556
RAW_1 vs RAW_2
CI95%-low 0.4127520
CI95%-high 0.4787165
[1] "393 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.445
RAW_1 vs RAW_2
CI95%-low 0.4138991
CI95%-high 0.4764256
[1] "436 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.4445455
RAW_1 vs RAW_2
CI95%-low 0.4149076
CI95%-high 0.4744807
[1] "479 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.4441667
RAW_1 vs RAW_2
CI95%-low 0.4158036
CI95%-high 0.4728040
[1] "522 Hits so far"
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.03138395
CI95%-high 0.10246183
[1] "12 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.03594387
CI95%-high 0.09317030
[1] "18 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.03881775
CI95%-high 0.08796242
[1] "24 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.04084418
CI95%-high 0.08454855
[1] "30 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.04237340
CI95%-high 0.08210076
[1] "36 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.04358122
CI95%-high 0.08024036
[1] "42 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.04456698
CI95%-high 0.07876730
[1] "48 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.04539166
CI95%-high 0.07756502
[1] "54 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.04609504
CI95%-high 0.07656049
[1] "60 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.04670434
CI95%-high 0.07570545
[1] "66 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.06
RAW_1 vs RAW_2
CI95%-low 0.04723894
CI95%-high 0.07496657
[1] "72 Hits so far"
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "TSNEdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
##Compare GANs versus respective RAWs
dophenotype <- function (data, classes, label){
## Permute and plot. Using "method"
pe <- permute(
mat = data,
n=n,
iter = iterations,
classes = classes,
projmethod = method,
verbose=FALSE)
its=0
solved=FALSE
while(solved==FALSE){
its=its+1
pe1 <- permute(
mat = data,
n=n,
iter = iterations,
classes = classes,
projmethod = method,
seed=i*iterations,
verbose=FALSE)
#assimilate all loops
pe<-c(pe,pe1)
text<-paste(label,". Now real iteration:" ,its*iterations)
print(text)
print(ClusterSignificance::pvalue(pe))
print(conf.int(pe, conf.level = 0.95))
flush.console()
labs<-unique(classes)
real=pe@scores.real$"GAN vs RAW"
simulated=pe@scores.vec$"GAN vs RAW"
beats<-simulated-real
perhits <- length(beats[beats>0])
text<-paste(perhits," Hits so far")
print(text)
flush.console()
pedebug <<-pe
if ((perhits>0) & (its*iterations>minit)) {solved=TRUE}
if(its*iterations>maxit){solved=TRUE}
}
return(pe)
}
for (pheno in seq(1,5)){
i <- ((pheno-1)*4)+1
j <- ((pheno-1)*4)+2
k <- ((pheno-1)*4)+3
l <- ((pheno-1)*4)+4
label <- paste(use,"clustering, ",method," using ", i,":",j," and ", k,":",l, ". Now real iteration:" ,sep="")
print(label)
#get data and loose any NA
CON=MANdata[,i:j]
CON= CON[complete.cases(CON), ]
names(CON)=c("X","Y")
TEST=MANdata[,k:l]
TEST= TEST[complete.cases(TEST), ]
names(TEST)=c("X","Y")
# For fair test don't tell Kmeans algo we have two pops ;-)
data<-rbind(CON,TEST)
data<-as.matrix(data)
class1<-rep("GAN", nrow(TEST))
class2<-rep("RAW",nrow(CON))
classes=cbind(t(class1),t(class2))[1,]
pe<-dophenotype(data,classes,label)
title<-paste("pheno=",pheno)
plot(pe,sub=title)
ClusterSignificance::pvalue(pe)
conf.int(pe, conf.level = 0.95)
line <- paste0(label,"\n",ClusterSignificance::pvalue(pe))
write(line,file="autoGANvRAWoutput.txt",append=TRUE)
write(conf.int(pe, conf.level = 0.95),file="autoGANvRAWoutput.txt",append=TRUE)
}
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.375
GAN vs RAW
CI95%-low 0.3077138
CI95%-high 0.4460514
[1] "75 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.3733333
GAN vs RAW
CI95%-low 0.3184256
CI95%-high 0.4307698
[1] "112 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.3725
GAN vs RAW
CI95%-low 0.3249685
CI95%-high 0.4219334
[1] "149 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.372
GAN vs RAW
CI95%-low 0.3295003
CI95%-high 0.4160230
[1] "186 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.3716667
GAN vs RAW
CI95%-low 0.3328800
CI95%-high 0.4117234
[1] "223 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.3714286
GAN vs RAW
CI95%-low 0.3355268
CI95%-high 0.4084191
[1] "260 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.37125
GAN vs RAW
CI95%-low 0.3376731
CI95%-high 0.4057796
[1] "297 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.3711111
GAN vs RAW
CI95%-low 0.3394594
CI95%-high 0.4036096
[1] "334 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.371
GAN vs RAW
CI95%-low 0.3409767
CI95%-high 0.4017853
[1] "371 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.3709091
GAN vs RAW
CI95%-low 0.3422865
CI95%-high 0.4002244
[1] "408 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 1:2 and 3:4. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.3708333
GAN vs RAW
CI95%-low 0.3434322
CI95%-high 0.3988693
[1] "445 Hits so far"
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.735
GAN vs RAW
CI95%-low 0.6681299
CI95%-high 0.7947609
[1] "147 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.7366667
GAN vs RAW
CI95%-low 0.6829749
CI95%-high 0.7856164
[1] "221 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.7375
GAN vs RAW
CI95%-low 0.6914735
CI95%-high 0.7799725
[1] "295 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.738
GAN vs RAW
CI95%-low 0.6971214
CI95%-high 0.7760381
[1] "369 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.7383333
GAN vs RAW
CI95%-low 0.7012112
CI95%-high 0.7730905
[1] "443 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.7385714
GAN vs RAW
CI95%-low 0.7043432
CI95%-high 0.7707743
[1] "517 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.73875
GAN vs RAW
CI95%-low 0.7068381
CI95%-high 0.7688911
[1] "591 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.7388889
GAN vs RAW
CI95%-low 0.7088846
CI95%-high 0.7673202
[1] "665 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.739
GAN vs RAW
CI95%-low 0.7106016
CI95%-high 0.7659836
[1] "739 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.7390909
GAN vs RAW
CI95%-low 0.7120684
CI95%-high 0.7648280
[1] "813 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 5:6 and 7:8. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.7391667
GAN vs RAW
CI95%-low 0.7133399
CI95%-high 0.7638158
[1] "887 Hits so far"
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.005
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.003333333
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.0025
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.002
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.001666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.001428571
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.00125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.001111111
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.001
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.0009090909
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.0008333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1200"
GAN vs RAW
0.0007692308
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1300"
GAN vs RAW
0.0007142857
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1400"
GAN vs RAW
0.0006666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1500"
GAN vs RAW
0.000625
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1600"
GAN vs RAW
0.0005882353
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1700"
GAN vs RAW
0.0005555556
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1800"
GAN vs RAW
0.0005263158
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 1900"
GAN vs RAW
5e-04
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2000"
GAN vs RAW
0.0004761905
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2100"
GAN vs RAW
0.0004545455
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2200"
GAN vs RAW
0.0004347826
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2300"
GAN vs RAW
0.0004166667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2400"
GAN vs RAW
4e-04
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2500"
GAN vs RAW
0.0003846154
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2600"
GAN vs RAW
0.0003703704
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2700"
GAN vs RAW
0.0003571429
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2800"
GAN vs RAW
0.0003448276
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 2900"
GAN vs RAW
0.0003333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3000"
GAN vs RAW
0.0003225806
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3100"
GAN vs RAW
0.0003125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3200"
GAN vs RAW
0.0003030303
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3300"
GAN vs RAW
0.0002941176
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3400"
GAN vs RAW
0.0002857143
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3500"
GAN vs RAW
0.0002777778
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3600"
GAN vs RAW
0.0002702703
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3700"
GAN vs RAW
0.0002631579
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3800"
GAN vs RAW
0.0002564103
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 3900"
GAN vs RAW
0.00025
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4000"
GAN vs RAW
0.0002439024
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4100"
GAN vs RAW
0.0002380952
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4200"
GAN vs RAW
0.0002325581
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4300"
GAN vs RAW
0.0002272727
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4400"
GAN vs RAW
0.0002222222
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4500"
GAN vs RAW
0.0002173913
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4600"
GAN vs RAW
0.000212766
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4700"
GAN vs RAW
0.0002083333
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4800"
GAN vs RAW
0.0002040816
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 4900"
GAN vs RAW
2e-04
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 5000"
GAN vs RAW
0.0001960784
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 9:10 and 11:12. Now real iteration: . Now real iteration: 5100"
GAN vs RAW
0.0001923077
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9643453
CI95%-high 0.9987867
[1] "198 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9710555
CI95%-high 0.9979330
[1] "297 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9745952
CI95%-high 0.9972688
[1] "396 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9768186
CI95%-high 0.9967453
[1] "495 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9783620
CI95%-high 0.9963216
[1] "594 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9795053
CI95%-high 0.9959703
[1] "693 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9803915
CI95%-high 0.9956731
[1] "792 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9811021
CI95%-high 0.9954175
[1] "891 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9816868
CI95%-high 0.9951945
[1] "990 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9821778
CI95%-high 0.9949978
[1] "1089 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 13:14 and 15:16. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.99
GAN vs RAW
CI95%-low 0.9825972
CI95%-high 0.9948225
[1] "1188 Hits so far"
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 100"
GAN vs RAW
0.005
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 200"
GAN vs RAW
0.003333333
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 300"
GAN vs RAW
0.0025
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 400"
GAN vs RAW
0.002
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 500"
GAN vs RAW
0.001666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 600"
GAN vs RAW
0.001428571
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 700"
GAN vs RAW
0.00125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 800"
GAN vs RAW
0.001111111
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 900"
GAN vs RAW
0.001
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1000"
GAN vs RAW
0.0009090909
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1100"
GAN vs RAW
0.0008333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1200"
GAN vs RAW
0.0007692308
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1300"
GAN vs RAW
0.0007142857
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1400"
GAN vs RAW
0.0006666667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1500"
GAN vs RAW
0.000625
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1600"
GAN vs RAW
0.0005882353
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1700"
GAN vs RAW
0.0005555556
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1800"
GAN vs RAW
0.0005263158
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 1900"
GAN vs RAW
5e-04
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2000"
GAN vs RAW
0.0004761905
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2100"
GAN vs RAW
0.0004545455
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2200"
GAN vs RAW
0.0004347826
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2300"
GAN vs RAW
0.0004166667
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2400"
GAN vs RAW
4e-04
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2500"
GAN vs RAW
0.0003846154
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2600"
GAN vs RAW
0.0003703704
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2700"
GAN vs RAW
0.0003571429
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2800"
GAN vs RAW
0.0003448276
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 2900"
GAN vs RAW
0.0003333333
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3000"
GAN vs RAW
0.0003225806
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3100"
GAN vs RAW
0.0003125
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3200"
GAN vs RAW
0.0003030303
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3300"
GAN vs RAW
0.0002941176
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3400"
GAN vs RAW
0.0002857143
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3500"
GAN vs RAW
0.0002777778
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3600"
GAN vs RAW
0.0002702703
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3700"
GAN vs RAW
0.0002631579
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3800"
GAN vs RAW
0.0002564103
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 3900"
GAN vs RAW
0.00025
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4000"
GAN vs RAW
0.0002439024
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4100"
GAN vs RAW
0.0002380952
GAN vs RAW
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4200"
GAN vs RAW
0.0002325581
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4300"
GAN vs RAW
0.0002272727
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4400"
GAN vs RAW
0.0002222222
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4500"
GAN vs RAW
0.0002173913
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4600"
GAN vs RAW
0.000212766
GAN vs RAW
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4700"
GAN vs RAW
0.0002083333
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4800"
GAN vs RAW
0.0002040816
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 4900"
GAN vs RAW
2e-04
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 5000"
GAN vs RAW
0.0001960784
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN vs RAW
[1] "UMAPdata clustering, mlp using 17:18 and 19:20. Now real iteration: . Now real iteration: 5100"
GAN vs RAW
0.0001923077
GAN vs RAW
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
NA
NA
##Are the GANs different to each other?
[1] "1 : 2"
[1] "1 : 3"
[1] "1 : 4"
[1] "1 : 5"
[1] "2 : 3"
[1] "2 : 4"
[1] "2 : 5"
[1] "3 : 4"
[1] "3 : 5"
[1] "4 : 5"
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5184216
CI95%-high 0.6588694
[1] "118 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5320163
CI95%-high 0.6461880
[1] "177 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5400323
CI95%-high 0.6386260
[1] "236 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5454626
CI95%-high 0.6334669
[1] "295 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5494493
CI95%-high 0.6296605
[1] "354 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5525347
CI95%-high 0.6267035
[1] "413 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5550133
CI95%-high 0.6243210
[1] "472 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5570606
CI95%-high 0.6223484
[1] "531 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5587883
CI95%-high 0.6206802
[1] "590 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5602717
CI95%-high 0.6192456
[1] "649 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 5:6. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.59
GAN_1 vs GAN_2
CI95%-low 0.5615632
CI95%-high 0.6179946
[1] "708 Hits so far"
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 9:10. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 1:2 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 9:10. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 5:6 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 9:10 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration:"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2
0.005
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2
0.003333333
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2
0.0025
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2
0.002
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2
0.001666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2
0.001428571
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2
0.00125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2
0.001111111
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2
0.001
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2
0.0009090909
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2
0.0008333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2
0.0007692308
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2
0.0007142857
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2
0.0006666667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2
0.000625
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2
0.0005882353
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2
0.0005555556
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2
0.0005263158
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2
5e-04
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2
0.0004761905
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2
0.0004545455
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2
0.0004347826
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2
0.0004166667
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2
4e-04
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2
0.0003846154
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2
0.0003703704
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2
0.0003571429
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2
0.0003448276
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2
0.0003333333
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2
0.0003225806
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2
0.0003125
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2
0.0003030303
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2
0.0002941176
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2
0.0002857143
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2
0.0002777778
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2
0.0002702703
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2
0.0002631579
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2
0.0002564103
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2
0.00025
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2
0.0002439024
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2
0.0002380952
GAN_1 vs GAN_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2
0.0002325581
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2
0.0002272727
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2
0.0002222222
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2
0.0002173913
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2
0.000212766
GAN_1 vs GAN_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2
0.0002083333
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2
0.0002040816
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2
2e-04
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2
0.0001960784
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
[1] "UMAPdata clustering, mlp using 13:14 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2
0.0001923077
GAN_1 vs GAN_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
##Are the RAWs different to each other?
[1] "1 : 2"
[1] "1 : 3"
[1] "1 : 4"
[1] "1 : 5"
[1] "2 : 3"
[1] "2 : 4"
[1] "2 : 5"
[1] "3 : 4"
[1] "3 : 5"
[1] "4 : 5"
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 7:8. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.005475566
CI95%-high 0.050413609
[1] "4 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.007374162
CI95%-high 0.043021083
[1] "6 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.00867317
CI95%-high 0.03902628
[1] "8 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.00963143
CI95%-high 0.03647241
[1] "10 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01037595
CI95%-high 0.03467516
[1] "12 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01097627
CI95%-high 0.03332911
[1] "14 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01147388
CI95%-high 0.03227599
[1] "16 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01189528
CI95%-high 0.03142500
[1] "18 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01225827
CI95%-high 0.03072003
[1] "20 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01257529
CI95%-high 0.03012439
[1] "22 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 11:12. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01285538
CI95%-high 0.02961300
[1] "24 Hits so far"
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 3:4 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.005475566
CI95%-high 0.050413609
[1] "4 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.007374162
CI95%-high 0.043021083
[1] "6 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.00867317
CI95%-high 0.03902628
[1] "8 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.00963143
CI95%-high 0.03647241
[1] "10 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01037595
CI95%-high 0.03467516
[1] "12 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01097627
CI95%-high 0.03332911
[1] "14 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01147388
CI95%-high 0.03227599
[1] "16 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01189528
CI95%-high 0.03142500
[1] "18 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01225827
CI95%-high 0.03072003
[1] "20 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01257529
CI95%-high 0.03012439
[1] "22 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 11:12. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.02
RAW_1 vs RAW_2
CI95%-low 0.01285538
CI95%-high 0.02961300
[1] "24 Hits so far"
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 7:8 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 11:12 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration:"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2
0.005
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01827534
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2
0.003333333
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.01222097
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2
0.0025
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.009179805
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2
0.002
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00735061
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2
0.001666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.006129271
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2
0.001428571
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.005255967
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2
0.00125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004600485
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2
0.001111111
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.004090367
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2
0.001
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003682084
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2
0.0009090909
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00334791
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2
0.0008333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.003069346
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2
0.0007692308
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002833577
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2
0.0007142857
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002631446
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2
0.0006666667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002456231
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2
0.000625
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002302894
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2
0.0005882353
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002167576
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2
0.0005555556
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.002047279
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2
0.0005263158
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001939632
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2
5e-04
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00184274
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2
0.0004761905
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001755067
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2
0.0004545455
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001675358
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2
0.0004347826
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001602575
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2
0.0004166667
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001535852
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2
4e-04
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001474464
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2
0.0003846154
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001417794
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2
0.0003703704
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001365319
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2
0.0003571429
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001316589
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2
0.0003448276
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001271219
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2
0.0003333333
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001228871
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2
0.0003225806
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001189253
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2
0.0003125
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001152111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2
0.0003030303
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001117218
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2
0.0002941176
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001084376
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2
0.0002857143
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00105341
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2
0.0002777778
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.001024164
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2
0.0002702703
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009964976
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2
0.0002631579
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009702867
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2
0.0002564103
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009454193
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2
0.00025
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0009217947
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2
0.0002439024
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008993221
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2
0.0002380952
RAW_1 vs RAW_2
CI95%-low 0.000000000
CI95%-high 0.000877919
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2
0.0002325581
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008575111
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2
0.0002272727
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008380304
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2
0.0002222222
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008194151
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2
0.0002173913
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0008016089
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2
0.000212766
RAW_1 vs RAW_2
CI95%-low 0.00000000
CI95%-high 0.00078456
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2
0.0002083333
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007682213
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2
0.0002040816
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007525492
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2
2e-04
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007375038
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2
0.0001960784
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007230482
[1] "0 Hits so far"
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
[1] "UMAPdata clustering, mlp using 15:16 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2
0.0001923077
RAW_1 vs RAW_2
CI95%-low 0.0000000000
CI95%-high 0.0007091483
[1] "0 Hits so far"